The Prompt Control Plane (PCP) is a tool for scoring, enforcing policy, and auditing AI prompts to improve their quality and reduce costs. It provides a structured approach to prompt management, ensuring clarity and efficiency in AI interactions.
From the registry: Scores, compiles & optimizes prompts for any LLM. Zero AI calls inside. Freemium.
$ npm install -g pcp-enginehttps://www.npmjs.com/package/pcp-enginePlease install the `claude-prompt-optimizer` MCP server into my current AI client (that's you).
Required prerequisites (do these first if not already done):
- **Node.js 18+** — Node.js 18 or higher
- **Install pcp-engine** — Install globally via npm Run: `npm install -g pcp-engine` (https://www.npmjs.com/package/pcp-engine)
Canonical MCP server config (stdio transport):
- command: `pcp`
- args: ["mcp"]
Note: Prompt Control Plane — scores, routes, and enforces policy on prompts. Free tier: 50 optimizations/month. CLI commands pcp preflight/optimize/score/check.
Add this MCP server to my current client's config in the correct format for you. If you need secrets or credentials I haven't provided, ASK me — do not invent values or leave raw placeholders. After adding it, tell me how to verify the server is connected.AI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.
Persistent codebase knowledge graph. Survives session restarts and context compaction.
MCP Toolbox for Databases enables your agent to connect to your database.